Jesse Gorzinski
Jesse Gorzinski works for the IBM i development lab in Rochester, MN. He is a Senior Business Architect and Senior Technical Staff Member (STSM) responsible for open source technologies on the platform. Jesse, who was doing RPG programming at the age of 18, is an expert on application development on IBM i, as well as system access and modernization.
Jesse Gorzinski is a longtime enthusiast of open source software (OSS). Jesse drives companies to success by leveraging the benefits of both legacy systems and cutting-edge technologies in harmony. He has worked with numerous Fortune 500 companies and also has applied experience in the finance/mortgage industry, where he specialized in data backup/recovery, process optimization, and information integrity. He has a Bachelor's degree in Computer Science as well as a Master of Business Administration degree.

Sessions
This session explores how to modernize IBM i development using Git pipelines, enabling efficient, collaborative, and automated workflows. Attendees will learn how to integrate Git, the leading version control system, with continuous integration/continuous delivery (CI/CD) pipelines tailored to IBM i environments.
AI offers significant opportunities for improved insights and operational efficiency. However, are you aware of the options for integrating IBM i with AI components? In this discussion, we’ll explore an end-to-end AI workflow that ingests data from IBM i, builds a model using Rocket AI hub, and integrates into an application using open source technologies.
Modern development on IBM i is now possible on Visual Studio Code including editing, compiling, debugging, accessing a database, source control, etc. Come learn about what the modern IBM i development tool stack looks like with Code for IBM i at its core and many more extensions!
The tech ecosystem has been changing drastically, and there are some technologies that are disrupting the way developers are expected to operate. For instance, we're seeing the VSCode ecosystem grow, we're seeing AI do amazing things, and we have more open source CI/CD options than ever before.
What does all this mean? In short, it has caused a strategic shift of focus to developer productivity. That is, how do we enable developers to be productive as possible? Developer Productivity Engineering, or DPE, is the study of how to analyze and improve efficiency for programmers. In this session, get an overview of DPE so that you can apply the concepts within your organization. Doing so will increase efficiency and decrease cost.